Using the short-time fourier transform and ResNet to diagnose depression from speech data
Depression is a common illness that is affecting many people nowadays, this is especially true now with the advent of the COVID-19 pandemic. It often arises when a person is having difficulty coping with stressful life events. It can occur throughout the lifespan of a person, and it pervades al...
Saved in:
Main Authors: | Elfaki, Ayman, Asnawi, Ani Liza, Jusoh, Ahmad Zamani, Ismail, Ahmad Fadzil, Ibrahim, Siti Noorjannah, Mohamed Azmin, Nor Fadhillah, Nik Hashim, Nik Nur Wahidah |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/97108/1/97108_Using%20the%20short-time%20fourier%20transform_Scopus.pdf http://irep.iium.edu.my/97108/2/97108_Using%20the%20short-time.pdf http://irep.iium.edu.my/97108/ https://ieeexplore.ieee.org/document/9673562 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using the short-time fourier transform and ResNet to diagnose depression from speech data
by: Elfaki, Ayman, et al.
Published: (2021) -
Diabetic retinopathy grading using ResNet convolutional neural network
by: Sallam, Muhammad Samer, et al.
Published: (2020) -
Classification of dances using AlexNet, ResNet18 and SqueezeNet1_0
by: Khalif Amir, Zakry, et al.
Published: (2023) -
Effective pneumonia detection using ResNet based transfer learning
by: Ansari, Naseem, et al.
Published: (2020) -
Investigation of VGG-16, ResNet-50 and AlexNet
Performance for Brain Tumor Detection
by: Tun Azshafarrah Ton Komar Azaharan, Tun Azshafarrah Ton Komar Azaharan, et al.
Published: (2023)